Journal article
Supporting the comparison of choropleth maps using an evolutionary algorithm
Cartography and Geographic Information Science, Vol.32(4), pp.347-358
10/01/2005
DOI: 10.1559/152304005775194755
Abstract
Choropleth maps can be used to compare the patterns exhibited by different spatial variables. In this paper, we develop an evolutionary algorithm that can be used to generate classifications that allow a user to explore the spatial patterns of multiple choropleth maps in terms of their visual correlation and the equality of area contained in each class. Synthetic and census data are used to demonstrate the effectiveness of our approach.
Details
- Title: Subtitle
- Supporting the comparison of choropleth maps using an evolutionary algorithm
- Creators
- Ningchuan XiaoMarc P Armstrong - University of Iowa, Geographical and Sustainability Sciences
- Resource Type
- Journal article
- Publication Details
- Cartography and Geographic Information Science, Vol.32(4), pp.347-358
- Publisher
- Taylor & Francis Group LLC
- DOI
- 10.1559/152304005775194755
- ISSN
- 1523-0406
- eISSN
- 1545-0465
- Language
- English
- Date published
- 10/01/2005
- Description audience
- Academic
- Academic Unit
- Geographical and Sustainability Sciences; Liberal Arts and Science Admin
- Record Identifier
- 9983766393302771
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